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Himanshu0221/README.md

Hola ๐Ÿ‘‹, I'm Himanshu Tagare

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๐Ÿš€ About Me

๐Ÿ” Exploring AI-driven solutions in LLMs, NLP, and Machine Learning.
๐Ÿ’ก Passionate about solving real-world problems with AI & automation.
๐Ÿ›  Building intelligent systems using LLMs, AI orchestration frameworks, and advanced analytics.
๐Ÿ“– Continuously learning and experimenting with Agentic AI, RAG-based applications, and multimodal AI.
๐Ÿ’ฌ Ask me about AI, NLP, and data-driven solutionsโ€”I'm happy to help!
๐Ÿ“ฉ How to reach me: himanshu_tagare@yahoo.in


๐Ÿ›  Languages, Tools & Skills

โšก Core Technologies

๐Ÿ Python | SQL | MySQL | Git | Bitbucket | Docker | FastAPI | Flask

๐Ÿค– Machine Learning & Deep Learning

๐Ÿ“Š ML Algorithms: Regression, Classification, Clustering, Time Series Forecasting, Feature Engineering, EDA
๐Ÿง  Deep Learning: ANN, CNN, Transfer Learning, Object Detection
๐Ÿ“œ NLP & LLMs: GPT-4 | Llama | Claude | BERT | NLTK | Spacy | Gensim | TF-IDF | Text Preprocessing

๐Ÿ”ฅ Generative AI & Agentic AI

๐Ÿš€ LLM-based AI Apps: Fine-tuning, Prompt Engineering, RAG
๐Ÿ›  Agentic AI & Orchestration: CrewAI | AutoGen | LangChain | LangGraph | OpenDevin | BabyAGI
๐Ÿ“Š AI & Data Analytics: Power BI | Data Visualization | Model Evaluation (BLEU, ROUGE, Perplexity, F1-score)


๐Ÿ“Š GitHub Stats

๐Ÿ”ฅ My Contributions

GitHub Streak

๐Ÿ“ˆ My GitHub Stats

Himanshu's GitHub stats

๐Ÿš€ My Top Languages

Top Langs


๐Ÿ† GitHub Trophies

GitHub Trophies


๐Ÿš€ Featured Repositories

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Readme Card


๐Ÿ“ซ Connect with Me

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Email

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  1. Task-1-Predict-the-percentage-of-an-student-based-on-the-no.-of-study-hours. Task-1-Predict-the-percentage-of-an-student-based-on-the-no.-of-study-hours. Public

    Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours).

    Jupyter Notebook 6 9

  2. California-Housing-Price-Prediction California-Housing-Price-Prediction Public

    Problem Statement : The US Census Bureau has published California Census Data which has 10 types of metrics such as the population, median income, median housing price, and so on for each block groโ€ฆ

    Jupyter Notebook

  3. Perform_Facial_Recognition_with_Deep_Learning_in_Keras_Using_CNN Perform_Facial_Recognition_with_Deep_Learning_in_Keras_Using_CNN Public

    Jupyter Notebook

  4. Task-2-Iris-Dataset Task-2-Iris-Dataset Public

    Prediction using Unsupervised ML (Task-2 Predict the optimum number of clusters and represent it visually.)

    Jupyter Notebook

  5. Task-3-Exploratory-Data-Analysis---Retail Task-3-Exploratory-Data-Analysis---Retail Public

    Perform โ€˜Exploratory Data Analysisโ€™ on dataset โ€˜SampleSuperstoreโ€™

    Jupyter Notebook

  6. Task-5-Exploratory-Data-Analysis---Sports Task-5-Exploratory-Data-Analysis---Sports Public

    Exploratory Data Analysis (Task-5 Exploratory Data Analysisโ€™ on dataset โ€˜Indian Premier League') using Python Created Storyboard.

    Jupyter Notebook